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Proceedings Paper

Partially observable Markov decision processes for risk-based screening
Author(s): Alex Mrozack; Xuejun Liao; Sondre Skatter; Lawrence Carin
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Paper Abstract

A long-term goal for checked baggage screening in airports has been to include passenger information, or at least a predetermined passenger risk level, in the screening process. One method for including that information could be treating the checked baggage screening process as a system-of-systems. This would allow for an optimized policy builder, such as one trained using the methodology of partially observable Markov decision processes (POMDP), to navigate the different sensors available for screening. In this paper we describe the necessary steps to tailor a POMDP for baggage screening, as well as results of simulations for specific screening scenarios.

Paper Details

Date Published: 12 May 2016
PDF: 14 pages
Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470Y (12 May 2016); doi: 10.1117/12.2230764
Show Author Affiliations
Alex Mrozack, Morpho Detection, Inc. (United States)
Xuejun Liao, Duke Univ. (United States)
Sondre Skatter, Morpho Detection, Inc. (United States)
Lawrence Carin, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 9847:
Anomaly Detection and Imaging with X-Rays (ADIX)
Amit Ashok; Mark A. Neifeld; Michael E. Gehm, Editor(s)

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